Examples

A dplyr and tidyr analysis of 250 students, translated line by line and run live, with the pass mark and study-time bands as inputs.

Join, summarize, and rank sales on phibble's DataFrame, on SQLite, and on Polars, with timings and a check that every backend returns the same rows.

Summarize to one row per school and band, pivot the bands into columns, split the school id, and pivot back.

Linear regression with a factor, compared with the coefficients that generated the data.

One phplyr pipeline run as a single SQL query and in memory, with the generated SQL.

A reactive Livewire dashboard: filters, a phplyr summary, two phiz charts, a logistic model, and what-if predictions.

The same pipeline on an in-memory data frame and in Polars, with timings for up to 300,000 rows.